AI Basics¶
Evolution of AI: https://www.linkedin.com/pulse/biggest-confusion-cleared-ai-vs-ml-dl-ashwin-kumar/
Machine Learning¶
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Machine Learning
Progress: [â ]
Comments: Andrew Ng's Machine Learning course on Coursera. (Kinda of obseleted. When I study this course, it is based on Matlab/Octave. Now the remake version is based on Python.)
Deep Learning¶
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Deep Learning Specialization ð
Progress: [â ]
Contents: 5 courses
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models
Comments: ð Andrew Ng's Deep Learning Specialization on Coursera, almost everything about deep learning is covered in this specialization. Well-rounded and highly recommended, if you have enough time.
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Dive Into Deep Learning ð
Status: [â Finished 1,2,3,4,5,6,7,18] [ð§ Ongoing 17]
Comments: A very good book for deep learning beginners. It is free and open source. It is also available in Chinese. The book is still under development, but it is already very good. Highly recommended.
Topics In This Section¶
- AI Basics - This Page
- AI Frameworks
- Linear Neural Network (LNN)
- Multi-Layer Perceptron (MLP)
- Convolutional Neural Network (CNN)
- Recurrent Neural Network (RNN)
- Transformer
- Graph Neural Network (GNN)
- Generative Adversarial Network (GAN)
- Reinforcement Learning (RL)
- Federated Learning (FL)
- Multi-Agent Learning (MAL)
- Transfer Learning (TL)
- Natural Language Processing (NLP)
- Computer Vision (CV)